Sabine Mueller: DHL Data & AI Rewires Intelligent Logistics

It is easy to plot the value of AI-driven, real-time analytics in the ever-shifting landscape of logistics. 

As one of the world's largest logistics providers, managing the movement, storage and delivery of goods across global supply chains, DHL took that AI leap quite early.

Long before Gen AI became all the rage, DHL was exploring how real-time analytics and machine learning could improve supply chain visibility and operational efficiency.

The company crossed a key milestone in 2024 when DHL Supply Chain partnered with Boston Consulting Group to launch enterprise-wide Gen AI applications spanning data management, customer service and proposal generation. 

This laid the cornerstone for DHL Data & AI, which now serves as the Group's dedicated service line for scaling AI innovation, intelligent operations and data-driven transformation across business units.

Stepping into the role as CEO of DHL Data & AI, is Sabine Mueller – former CEO of DHL Consulting and a veteran serving over two decades in the company. 

“Back in 2000, I joined DHL Consulting as employee number 13. In total, I’ve spent 22 years with the company and after 16 years as CEO, it’s time for something new,” Sabine notes on her LinkedIn. 

“AI is transforming how we work, how we decide and how we grow. 

“Being part of that next step for DHL Group is both an opportunity and a responsibility I feel deeply,” she says. 

Sabine is passing her torch to Markus Reckling, who will be taking over the role of CEO for DHL Consulting from June 1 2026. 

Scaling AI across DHL’s global operations

DHL Data & AI unit reflects a broader shift within the company, as it moves away from isolated technology pilots to enterprise-scale deployment. 

“We combine cutting-edge AI capabilities with deep logistics expertise to help every corner of DHL Group move smarter, faster and more sustainably,” reads the LinkedIn bio of DHL Data & AI unit.

This AI transformation is already bearing fruits. DHL Express recently introduced AI-powered item identification for international shipping – a first in the global express logistics industry.

The solution helps customers more accurately identify shipment contents, reducing manual effort while improving processing speed and supporting customs compliance requirements.

Dirk Olufs, EVP & Global CIO at DHL Express, says: “Computer vision is now live for customers across multiple markets but what matters most is the impact. 

“Accurate item classification at the point of data entry means cleaner data across the entire shipment lifecycle: fewer holds, faster clearance and a better outcome for the customer.”

Beyond customer-facing applications, DHL continues to expand its use of big data analytics across supply chain operations. 

Advanced analytics are being used to improve demand forecasting, strengthen inventory planning and provide greater visibility into complex logistics networks. 

By analysing operational data in real time, DHL can identify potential disruptions earlier and make faster, more informed decisions.

The rise of the blended workforce

Like many organisations, DHL is actively exploring Agentic AI. 

One of DHL’s earliest agentic AI deployments came in 2025, when DHL Supply Chain integrated HappyRobot’s AI agents to automate operational communication workflows across its logistics network.

“As we build and implement Agentic AI, the definition of the ‘workforce’ is fundamentally shifting,” Sabine notes. 

“We are no longer just using AI as a software tool – we are starting to interact with it as a virtual employee.

The CEO believes that this workforce change will have implications for the role of a leader. 

“Soon, leadership will go beyond managing people,” Sabine says. 

“It will require coordinating and supervising a blended workforce of human and virtual employees.

“But here is the reality check: Agentic AI can work autonomously but it doesn't set the agenda. 

“While AI is incredibly powerful at analysing data, executing tasks and even drafting strategies, it lacks a human moral compass and cannot take accountability,” Sabine notes.  

As logistics networks become more complex under the fragile cyber and geopolitical landscape, organisations are increasingly relying on AI, analytics and automation to improve operational performance and respond more quickly to changing market conditions.

Blending advanced technology with deep logistics expertise, DHL Data & AI is helping drive the next stage of the Group's digital transformation. 

From Gen AI applications and predictive analytics to emerging Agentic AI capabilities, the business is building the foundations for a more intelligent, connected and responsive logistics ecosystem.

Even so, Sabine believes that the final word belongs to the human.

“Ultimately, the AI will not make the final decisions. We will,” she says.